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Scaling Apache Solr

You're reading from   Scaling Apache Solr Optimize your searches using high-performance enterprise search repositories with Apache Solr

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783981748
Length 298 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (13) Chapters Close

Preface 1. Understanding Apache Solr FREE CHAPTER 2. Getting Started with Apache Solr 3. Analyzing Data with Apache Solr 4. Designing Enterprise Search 5. Integrating Apache Solr 6. Distributed Search Using Apache Solr 7. Scaling Solr through Sharding, Fault Tolerance, and Integration 8. Scaling Solr through High Performance 9. Solr and Cloud Computing 10. Scaling Solr Capabilities with Big Data A. Sample Configuration for Apache Solr Index

Preface

With the growth of information assets in enterprises, the need to build a rich, scalable search application has becomes critical. Today, Apache Solr is one of the most widely adapted, scalable, feature-rich, and high-performance open source search application servers.

Scaling Apache Solr is intended to enable its users to transform Apache Solr from a basic search server, to an enterprise-ready, high performance, and scalable search application. This book is a comprehensive reference guide that starts with the basic concepts of Solr; it takes users through the journey of how Solr can be used in enterprise deployments, and it finally dives into building a highly efficient, scalable enterprise search application using various techniques and numerous practical chapters.

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